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Description
The AWS Command Line Interface (AWS CLI) serves as a comprehensive tool for overseeing your AWS services efficiently. By simply downloading and configuring this single tool, users can manage various AWS services directly from the command line and streamline processes through automation scripts. The latest version, AWS CLI v2, introduces a host of enhancements, including better installation processes, new configuration options like AWS IAM Identity Center (which replaces AWS SSO), and a range of interactive features designed to elevate user experience. This command-line shell program is tailored to enhance convenience and productivity, catering to both beginners and experienced AWS CLI users alike. It supports resource identifiers such as Amazon EC2 instance IDs, Amazon SQS queue URLs, and Amazon SNS topic names, making it easier to work with AWS resources. As you type, detailed documentation for commands and options is readily available to assist you. The user guide for the AWS Command Line Interface provides step-by-step instructions for installation and configuration, ensuring you are well-equipped to start utilizing your AWS services from the command line right away. With this powerful tool at your disposal, managing cloud resources becomes more efficient than ever.
Description
Fully compatible with Netezza, this solution offers a streamlined command-line upgrade option. It can be deployed on-premises, in the cloud, or through a hybrid model. The IBM® Netezza® Performance Server for IBM Cloud Pak® for Data serves as a sophisticated platform for data warehousing and analytics, catering to both on-premises and cloud environments. With significant improvements in in-database analytics functions, this next-generation Netezza empowers users to engage in data science and machine learning with datasets that can reach petabyte levels. It includes features for detecting failures and ensuring rapid recovery, making it robust for enterprise use. Users can upgrade existing systems using a single command-line interface. The platform allows for querying multiple systems as a cohesive unit. You can select the nearest data center or availability zone, specify the desired compute units and storage capacity, and initiate the setup seamlessly. Furthermore, the IBM® Netezza® Performance Server is accessible on IBM Cloud®, Amazon Web Services (AWS), and Microsoft Azure, and it can also be implemented on a private cloud, all powered by the capabilities of IBM Cloud Pak for Data System. This flexibility enables organizations to tailor the deployment to their specific needs and infrastructure.
API Access
Has API
API Access
Has API
Integrations
AWS Marketplace
Amazon EC2
Amazon Linux 2
Amazon S3
Amazon Simple Notification Service (SNS)
Captain Compliance
Cloudera Data Platform
Coginiti
DBHawk
Datametica
Integrations
AWS Marketplace
Amazon EC2
Amazon Linux 2
Amazon S3
Amazon Simple Notification Service (SNS)
Captain Compliance
Cloudera Data Platform
Coginiti
DBHawk
Datametica
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/cli/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/netezza
Product Features
Cloud Management
Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval
Product Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge